Purification and enzymatic characteristics of cysteine desulfurase, IscS, in Acidithiobacillus ferrooxidans ATCC 23270

A cysteine desulfurase protein,IscS,was encoded by the operon iscSUA in Acidithiobacillus ferrooxidans.The gene of IscS from Acidithiobacillus ferrooxidans ATCC 23270 was cloned and expressed in Escherichia coli.The protein was purified by one-step affinity chromatography to homogeneity.The final protein yield after affinity chromatography was 12.9%.The enzyme was characterized for thermal stability,pH and kinetic parameters.The molecular mass of recombinant IscS was 46 ku by SDS-PAGE.The optimum pH was 8.0-8.5.The enzyme had a temperature optimum at 30 ℃ and was relatively stable at 40 ℃,with 67% loss of activity.1,5-I-AEDANS significantly inhibited IscS activity.Kinetic parameters Km and Vmax were found to be 0.11 mmol/L and 2.57 μmol/(L-min).     

Expression, purification and molecular modeling of iron-containing superoxide dismutase from Acidithiobacillus ferrooxidans

The superoxide dismutase(SOD) from Acidithiobacillus ferrooxidans may play an important role in its tolerance to the extremely toxic and oxidative environment of bioleaching.This gene was cloned and then successfully expressed in Escherichia coli.The expressed protein was finally purified by one-step affinity chromatography to homogeneity and observed to be dimer according to SDS-PAGE and MALDI-TOF-MS.The metal content determination and optical spectra results of the recombinant protein confirmed that the protein was an iron-containing superoxide dismutase.Molecular modeling for the protein revealed that the iron atom was ligated by His26,His75,Asp158 and His162.     

结晶器厚度方向锥度对铸坯质量的影响

从铸机结晶器参数入手,对比了不同类型铸机所生产铸坯表面纵裂纹的差异。认为结晶器厚度方向锥度小是导致铸坯表面产生纵裂纹的主要原因,锥度越大越有利于降低铸坯表面纵裂纹的发生率。通过研究结晶器的发展过程指出,在结晶器设计过程中,厚度方向的锥度应满足钢种的凝固收缩,尽量减少气隙,改善传热,降低铸坯缺陷。     

Variable cluster analysis method for building neural network model

To address the problems that input variables should be reduced as much as possible and explain output variables fully in building neural network model of complicated system, a variable selection method based on cluster analysis was investigated. Similarity coefficient which describes the mutual relation of variables was defined. The methods of the highest contribution rate, part replacing whole and variable replacement are put forwarded and de-duced by information theory. The software of tbe neural network based on cluster analysis, whicb can provide many kinds of metbods for defining variable similarity coefficient, clustering system variable and evaluating variable clus-ter, was developed and applied to build neural network forecast model of cement clinker quality. Tile results show that all the network scale, training time and prediction accuracy are perfect. The practical application demonstrates that the method of selecting variables for neural network is feasible and effective.     

健康监护系统设计与实现

介绍了一种基于ARM7处理器和Android手机终端的健康监护系统,该方案可以测量包括心电信号,脉搏信号,体温,心率,脉率等的多种生理参数。系统由生理信号采集端、嵌入式处理端和手机显示终端组成。生理信号采集端采集人体生理数据,通过嵌入式处理端进行各种数据的预处理和算法处理,并通过蓝牙上传至手机,手机对数据进行实时的展现。该系统可以实时检测人体的生理信息,便携,使用简单。